Classification and clustering of brain injuries from motion data of patients in a virtual reality environment

Uri Feintuch; Larry Manevitz; Natan Silnitsky

Classification and clustering of brain injuries from motion data of patients in a virtual reality environment

Uri Feintuch
, Larry Manevitz
, Natan Silnitsky

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Virtual Reality (VR) has been found to be an effective rehabilitation tool for brain injury patients. We show that motion data from these VR sessions can be effectively used to both cluster and classify patients according to types of injury. Neural Network and other tools were used to differentially classify patients with traumatic brain injury, cerebral vascular accident (stroke) with and without spatial neglect and healthy individuals solely from the motion data. Clustering techniques also successfully duplicated the classification division. These results have potential implications for scientific research, automated diagnosis and integrated individually adaptive therapies in the virtual reality technology.

Original language	English
Title of host publication	ICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation
Pages	246-252
Number of pages	7
State	Published - 2010
Event	International Conference on Neural Computation, ICNC 2010 and of the International Conference on Fuzzy Computation, ICFC 2010 - Valencia, Spain Duration: 24 Oct 2010 → 26 Oct 2010

Publication series

Name	ICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation

Conference

Conference	International Conference on Neural Computation, ICNC 2010 and of the International Conference on Fuzzy Computation, ICFC 2010
Country/Territory	Spain
City	Valencia
Period	24/10/10 → 26/10/10

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

CVA
Classification
Clustering
Neglect
Neural networks
TBI
VR

ASJC Scopus subject areas

Computational Theory and Mathematics
Applied Mathematics

Cite this

Feintuch, U., Manevitz, L., & Silnitsky, N. (2010). Classification and clustering of brain injuries from motion data of patients in a virtual reality environment. In ICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation (pp. 246-252). (ICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation).

Feintuch, Uri ; Manevitz, Larry ; Silnitsky, Natan. / Classification and clustering of brain injuries from motion data of patients in a virtual reality environment. ICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation. 2010. pp. 246-252 (ICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation).

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title = "Classification and clustering of brain injuries from motion data of patients in a virtual reality environment",

abstract = "Virtual Reality (VR) has been found to be an effective rehabilitation tool for brain injury patients. We show that motion data from these VR sessions can be effectively used to both cluster and classify patients according to types of injury. Neural Network and other tools were used to differentially classify patients with traumatic brain injury, cerebral vascular accident (stroke) with and without spatial neglect and healthy individuals solely from the motion data. Clustering techniques also successfully duplicated the classification division. These results have potential implications for scientific research, automated diagnosis and integrated individually adaptive therapies in the virtual reality technology.",

keywords = "CVA, Classification, Clustering, Neglect, Neural networks, TBI, VR",

author = "Uri Feintuch and Larry Manevitz and Natan Silnitsky",

year = "2010",

language = "English",

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series = "ICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation",

pages = "246--252",

booktitle = "ICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation",

note = "International Conference on Neural Computation, ICNC 2010 and of the International Conference on Fuzzy Computation, ICFC 2010 ; Conference date: 24-10-2010 Through 26-10-2010",

}

Feintuch, U, Manevitz, L & Silnitsky, N 2010, Classification and clustering of brain injuries from motion data of patients in a virtual reality environment. in ICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation. ICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation, pp. 246-252, International Conference on Neural Computation, ICNC 2010 and of the International Conference on Fuzzy Computation, ICFC 2010, Valencia, Spain, 24/10/10.

Classification and clustering of brain injuries from motion data of patients in a virtual reality environment. / Feintuch, Uri; Manevitz, Larry; Silnitsky, Natan.
ICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation. 2010. p. 246-252 (ICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Classification and clustering of brain injuries from motion data of patients in a virtual reality environment

AU - Feintuch, Uri

AU - Manevitz, Larry

AU - Silnitsky, Natan

PY - 2010

Y1 - 2010

N2 - Virtual Reality (VR) has been found to be an effective rehabilitation tool for brain injury patients. We show that motion data from these VR sessions can be effectively used to both cluster and classify patients according to types of injury. Neural Network and other tools were used to differentially classify patients with traumatic brain injury, cerebral vascular accident (stroke) with and without spatial neglect and healthy individuals solely from the motion data. Clustering techniques also successfully duplicated the classification division. These results have potential implications for scientific research, automated diagnosis and integrated individually adaptive therapies in the virtual reality technology.

AB - Virtual Reality (VR) has been found to be an effective rehabilitation tool for brain injury patients. We show that motion data from these VR sessions can be effectively used to both cluster and classify patients according to types of injury. Neural Network and other tools were used to differentially classify patients with traumatic brain injury, cerebral vascular accident (stroke) with and without spatial neglect and healthy individuals solely from the motion data. Clustering techniques also successfully duplicated the classification division. These results have potential implications for scientific research, automated diagnosis and integrated individually adaptive therapies in the virtual reality technology.

KW - CVA

KW - Classification

KW - Clustering

KW - Neglect

KW - Neural networks

KW - TBI

KW - VR

UR - https://www.scopus.com/pages/publications/78651445935

M3 - Conference contribution

AN - SCOPUS:78651445935

SN - 9789898425324

T3 - ICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation

SP - 246

EP - 252

BT - ICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation

T2 - International Conference on Neural Computation, ICNC 2010 and of the International Conference on Fuzzy Computation, ICFC 2010

Y2 - 24 October 2010 through 26 October 2010

ER -

Feintuch U, Manevitz L, Silnitsky N. Classification and clustering of brain injuries from motion data of patients in a virtual reality environment. In ICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation. 2010. p. 246-252. (ICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation).

Classification and clustering of brain injuries from motion data of patients in a virtual reality environment

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

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Cite this